Chicagoland Mini-Workshop on LHC Run II Analysis with Machine Learning at the University of Chicago

Contribution List

1. Run II Physics: Experimental Prospects (15' + 5')

Corrinne Mills (University of Illinois at Chicago (US))

15/01/2019, 10:30

19. Run II Physics: Theoretical Prospects (15' + 5')

Marcela Carena (Fermilab)

15/01/2019, 10:50

13. Phenomenology: Jet Substructure + ... (10'+10')

Matthew Schwartz (Harvard)

15/01/2019, 11:10

Applying Machine Learning to Run II Analysis

18. Experimental and Practical Aspects of Machine Learning (10'+10')

Benjamin Henry Hooberman (Univ. Illinois at Urbana-Champaign (US))

15/01/2019, 11:30

Applying Machine Learning to Run II Analysis

14. For Future ATLAS Hardware Triggers (10'+10')

David Miller (University of Chicago (US))

15/01/2019, 11:50

Applying Machine Learning to Run II Analysis

12. For Future CMS High Level Triggers (10'+10')

Nhan Viet Tran (Fermi National Accelerator Lab. (US))

15/01/2019, 12:30

Applying Machine Learning to Run II Analysis

11. Analysis, Detector Simulation, Neuromorphic Computing, and High Performance Computing (10'+10')

Walter Hopkins (Argonne National Laboratory (US))

15/01/2019, 12:50

Applying Machine Learning to Run II Analysis

16. Discussions: Training for Machine Learning

Jahred Adelman (Northern Illinois University), Mayda Velasco (Northwestern University (US)), Robert William Gardner Jr (University of Chicago (US))

15/01/2019, 13:40

15. Conclusions of the Workshop

Andreas Hoecker (CERN)

15/01/2019, 14:10

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